{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,2,10]],"date-time":"2026-02-10T16:18:14Z","timestamp":1770740294171,"version":"3.49.0"},"reference-count":40,"publisher":"SAGE Publications","issue":"3","license":[{"start":{"date-parts":[[2016,8,3]],"date-time":"2016-08-03T00:00:00Z","timestamp":1470182400000},"content-version":"tdm","delay-in-days":0,"URL":"https:\/\/journals.sagepub.com\/page\/policies\/text-and-data-mining-license"}],"content-domain":{"domain":["journals.sagepub.com"],"crossmark-restriction":true},"short-container-title":["Proceedings of the Institution of Mechanical Engineers, Part P: Journal of Sports Engineering and Technology"],"published-print":{"date-parts":[[2016,9]]},"abstract":"<jats:p>\n                    The study of teammates\u2019 interaction on team sports has been growing in the last few years. Nevertheless, no specific software has been developed so far to do this in a user-friendly manner. Therefore, the aim of this study was to introduce a software called the Performance Analysis Tool that allows the user to quickly record the teammates\u2019 interaction and automatically generate the outputs in adjacency matrices that can then be imported by social network analysis software such as SocNetV. Moreover, it was also the aim of this study to process the data in a real-life scenario, thus the seven matches of the German national soccer team in the FIFA World Cup 2014 were used to test the software and then compute the network metrics. A dataset of 3032 passes between teammates in seven soccer matches was generated with the Performance Analysis Tool software, which permitted a study of the network structure. The analysis of variance of centrality metrics between different tactical positions was made. The two-way multivariate analysis of variance revealed that the strategic position (\n                    <jats:inline-formula>\n                      <mml:math xmlns:mml=\"http:\/\/www.w3.org\/1998\/Math\/MathML\" display=\"inline\" overflow=\"scroll\">\n                        <mml:mrow>\n                          <mml:mi>\u03b3<\/mml:mi>\n                          <mml:mo>=<\/mml:mo>\n                          <mml:mn>1<\/mml:mn>\n                          <mml:mo>.<\/mml:mo>\n                          <mml:mn>305<\/mml:mn>\n                        <\/mml:mrow>\n                      <\/mml:math>\n                    <\/jats:inline-formula>\n                    ;\n                    <jats:italic toggle=\"yes\">F<\/jats:italic>\n                    \u2009=\u200924.394;\n                    <jats:italic toggle=\"yes\">p<\/jats:italic>\n                    \u2009=\u20090.001;\n                    <jats:inline-formula>\n                      <mml:math xmlns:mml=\"http:\/\/www.w3.org\/1998\/Math\/MathML\" display=\"inline\" overflow=\"scroll\">\n                        <mml:mrow>\n                          <mml:msubsup>\n                            <mml:mrow>\n                              <mml:mi>\u03b7<\/mml:mi>\n                            <\/mml:mrow>\n                            <mml:mrow>\n                              <mml:mi>p<\/mml:mi>\n                            <\/mml:mrow>\n                            <mml:mrow>\n                              <mml:mn>2<\/mml:mn>\n                            <\/mml:mrow>\n                          <\/mml:msubsup>\n                          <mml:mo>=<\/mml:mo>\n                          <mml:mn>0<\/mml:mn>\n                          <mml:mo>.<\/mml:mo>\n                          <mml:mn>652<\/mml:mn>\n                        <\/mml:mrow>\n                      <\/mml:math>\n                    <\/jats:inline-formula>\n                    ; large effect size) had significant main effects on the centrality measures. No statistical differences were found in the phase of competition (\n                    <jats:inline-formula>\n                      <mml:math xmlns:mml=\"http:\/\/www.w3.org\/1998\/Math\/MathML\" display=\"inline\" overflow=\"scroll\">\n                        <mml:mrow>\n                          <mml:mi>\u03b3<\/mml:mi>\n                          <mml:mo>=<\/mml:mo>\n                          <mml:mn>0<\/mml:mn>\n                          <mml:mo>.<\/mml:mo>\n                          <mml:mn>003<\/mml:mn>\n                        <\/mml:mrow>\n                      <\/mml:math>\n                    <\/jats:inline-formula>\n                    ;\n                    <jats:italic toggle=\"yes\">F<\/jats:italic>\n                    \u2009=\u20090.097;\n                    <jats:italic toggle=\"yes\">p<\/jats:italic>\n                    \u2009=\u20090.907;\n                    <jats:inline-formula>\n                      <mml:math xmlns:mml=\"http:\/\/www.w3.org\/1998\/Math\/MathML\" display=\"inline\" overflow=\"scroll\">\n                        <mml:mrow>\n                          <mml:msubsup>\n                            <mml:mrow>\n                              <mml:mi>\u03b7<\/mml:mi>\n                            <\/mml:mrow>\n                            <mml:mrow>\n                              <mml:mi>p<\/mml:mi>\n                            <\/mml:mrow>\n                            <mml:mrow>\n                              <mml:mn>2<\/mml:mn>\n                            <\/mml:mrow>\n                          <\/mml:msubsup>\n                          <mml:mo>=<\/mml:mo>\n                          <mml:mn>0<\/mml:mn>\n                          <mml:mo>.<\/mml:mo>\n                          <mml:mn>003<\/mml:mn>\n                        <\/mml:mrow>\n                      <\/mml:math>\n                    <\/jats:inline-formula>\n                    ; very small effect size). The network approach revealed that the German national soccer team based their attacking process on positional attacks and not in counter-attack, and the midfielders were the prominent players followed by the central defenders. The Performance Analysis Tool software allowed the user to quickly identify the teammates\u2019 interactions and extract the network data for process and analysis.\n                  <\/jats:p>","DOI":"10.1177\/1754337115597335","type":"journal-article","created":{"date-parts":[[2015,7,29]],"date-time":"2015-07-29T22:09:26Z","timestamp":1438207766000},"page":"158-170","update-policy":"https:\/\/doi.org\/10.1177\/sage-journals-update-policy","source":"Crossref","is-referenced-by-count":8,"title":["Performance Analysis Tool for network analysis on team sports: A case study of FIFA Soccer World Cup 2014"],"prefix":"10.1177","volume":"230","author":[{"given":"Filipe Manuel","family":"Clemente","sequence":"first","affiliation":[{"name":"Department of Education, Coimbra College of Education, Polytechnic Institute of Coimbra, Coimbra, Portugal"},{"name":"ASSERT, RoboCorp, IIA, Polytechnic Institute of Coimbra, Coimbra, Portugal"},{"name":"Faculty of Sport Sciences and Physical Education, University of Coimbra, Coimbra, Portugal"}]},{"given":"Frutuoso","family":"Silva","sequence":"additional","affiliation":[{"name":"Delega\u00e7\u00e3o da Covilh\u00e3, Instituto de Telecomunica\u00e7\u00f5es, Coimbra, Portugal"},{"name":"University of Beira Interior, Covilh\u00e3, Portugal"}]},{"given":"Fernando Manuel Louren\u00e7o","family":"Martins","sequence":"additional","affiliation":[{"name":"Department of Education, Coimbra College of Education, Polytechnic Institute of Coimbra, Coimbra, Portugal"},{"name":"ASSERT, RoboCorp, IIA, Polytechnic Institute of Coimbra, Coimbra, Portugal"},{"name":"Delega\u00e7\u00e3o da Covilh\u00e3, Instituto de Telecomunica\u00e7\u00f5es, Coimbra, Portugal"}]},{"given":"Dimitris","family":"Kalamaras","sequence":"additional","affiliation":[{"name":"New Media Network Synapsis S.A., Athens, Greece"}]},{"given":"Rui Sousa","family":"Mendes","sequence":"additional","affiliation":[{"name":"Department of Education, Coimbra College of Education, Polytechnic Institute of Coimbra, Coimbra, Portugal"},{"name":"ASSERT, RoboCorp, IIA, Polytechnic Institute of Coimbra, Coimbra, Portugal"}]}],"member":"179","published-online":{"date-parts":[[2016,8,3]]},"reference":[{"key":"e_1_3_2_2_2","doi-asserted-by":"publisher","DOI":"10.1080\/026404197367416"},{"key":"e_1_3_2_3_2","doi-asserted-by":"publisher","DOI":"10.4324\/9780203448625"},{"key":"e_1_3_2_4_2","doi-asserted-by":"publisher","DOI":"10.1080\/02640414.2014.898852"},{"key":"e_1_3_2_5_2","doi-asserted-by":"publisher","DOI":"10.1007\/978-3-319-09144-0_49"},{"key":"e_1_3_2_6_2","first-page":"363","volume-title":"Science and football","author":"Franks IM","year":"1996","unstructured":"Franks IM, McGarry T. 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